Accession Number:

ADA446939

Title:

Procedures for Adjusting Regional Regression Models of Urban-Runoff Quality Using Local Data

Descriptive Note:

Corporate Author:

GEOLOGICAL SURVEY WASHINGTON DC

Personal Author(s):

Report Date:

1993-01-01

Pagination or Media Count:

43.0

Abstract:

Statistical operations termed model-adjustment procedures MAPs can be used to incorporate local data into existing regression models to improve the prediction of urban-runoff quality. Each MAP is a form of regression analysis in which the local data base is used as a calibration data set. Regression coefficients are determined from the local data base, and the resulting adjusted regression models can then be used to predict storm-runoff quality at unmonitored sites. The response variable in the regression analyses is the observed load or mean concentration of a constituent in storm runoff for a single storm. The set of explanatory variables used in the regression analyses is different for each MAP, but always includes the predicted value of load or mean concentration from a regional regression model. The four MAPs examined in this study were single-factor regression against the regional model prediction, Pu, termed MAP-lF-P, regression against Pu, termed MAP-R-P, regression against P, and additional local variables termed MAP-R-PnV, and a weighted combination of Pu and a local-regression prediction termed MAP-W.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE